Hello Everyone, I am trying to understand what is the role of weights and biases. How do I come to know in other scenarios what is the right number to choose?
Setting the values for w and b is through training, learning the best values based on a set of data.
It’s the key task of machine learning.
The Gradient descent algorithm that we cover in this course “learns” the optimal values for w and b, such that there is minimum error between the predicted values and actual values - So, we don’t need to manually set the values of w and b.
To understand a little more about the significance of w and b, you can take a look here
can anyone please tell how to get the notes and download??
Is making handwritten notes helpful or not??
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